Issac, Biju

Mathew, Kuruvilla

Tan, Chong Eng

English

Teeside University's Research Repository

Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking Paper authors: Kuruvilla Mathew, CE Tan, Biju Issac Organisation • Introduction • Background and context • The Survey, Analysis and Results • Noise Analysis on Candidate Frequencies • Conclusion • Summary and Future Work Introduction • Wireless signal for dense jungle terrain – Ubiquitous Wireless Signal – Power efficient – Lower attenuation over obstacles – Cost effective  • Sound – Perceivable range? Normally not tested above 8 KHz [9] – culturally, demographically and age neutral survey – Noise profile of the candidate frequency Background and Context • Popular Wireless Signals – Nature of the signals • The Terrain  – Jungle  • New Signal Idea – Sound and Percievable Frequency • The Survey  The Survey, Analysis, Results • Population – Culture, Gender and Age Neutral • Signals – Low freq from 15 Hz to 250 Hz – High freq from 12 KHz to 22 KHz • Hardware – iPad, AKG K99,  Zoom H4n, phones… The Survey, Analysis, Results • Process  – Normal environment, – White noise calibration – Play for Lowest to higher & highest to lower freq • Results < 25 Hz > 18 KHz The Survey, Analysis, Results Noise Analysis on Candidate Freq • Ambient Noise • Candidate bands • Zoom H4n Recording – Standardised mic settings for comparability • Matlab – Filter and analysis Noise Analysis on Candidate Freq • Results …  • Consistent pattern (up to 10-6 db) – Low or absent high freq noise – Strong presence of low freq noise    Noise Analysis on Candidate Freq Noise Analysis on Candidate Freq Noise Analysis on Candidate Freq Noise Analysis on Candidate Freq Noise Analysis on Candidate Freq Conclusion  • Quieter high frequency band  • High frequency band can support higher data rate • Ubiquitous devices may work better with higher frequency with little or no modification  Summary and Future Work • Study noise in target environment • Study actual attenuation in target environment • Study usability of ubiquitous consumer devices • Study data encoding over sound 

Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking:Lecture Notes in Electrical Engineering

https://research.tees.ac.uk/ws/files/6290890/312370.pdf

Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking:Lecture Notes in Electrical Engineering

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Teeside University's Research Repository

Teeside University's Research Repository